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Paper Abstract and Keywords
Presentation 2023-03-01 11:20
An Investigation of Text-to-Speech Synthesis Using Voice Conversion and x-vector Embedding Sympathizing Emotion of Input Audio for Spoken Dialogue Systems
Shunichi Kohara, Masanobu Abe, Sunao Hara (Okayama Univ.) EA2022-109 SIP2022-153 SP2022-73
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a Text-to-Speech synthesis method to synthesize the same emotional expression as the input speech using voice convercion and x-vector embedding. In Spoken Dialogue Systems, nonverbal information in speech is important, and lack of the nonverbal information in speech reposes make the systems boring. To avoid the problem, we investigated a method that synthesize response speech with the same emotions extracted from input user’s speech. This is well known as sympathizing that is observed in conversations among human beings. First, the proposed method converted the user’s input speech to the TTS model speaker of spoken dialogue systems, and then it synthesizes an emotional speech with x-vector, embedding vectors. In evaluation experiments, we evaluated the emotional expression and naturalness of the synthesized speech. The experiment results showed that emotions can be controled by x-vector extracted from converted speech to the speaker of TTS model, and that the naturalness of the synthesized speech is not impaired even with x-vector of converted speech.
Keyword (in Japanese) (See Japanese page) 
(in English) TTS / emotional speech / voice convercion / x-vectors / spoken dialogue systems / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 389, SP2022-73, pp. 203-208, Feb. 2023.
Paper # SP2022-73 
Date of Issue 2023-02-21 (EA, SIP, SP) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EA2022-109 SIP2022-153 SP2022-73

Conference Information
Committee SP IPSJ-SLP EA SIP  
Conference Date 2023-02-28 - 2023-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2023-02-SP-SLP-EA-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Investigation of Text-to-Speech Synthesis Using Voice Conversion and x-vector Embedding Sympathizing Emotion of Input Audio for Spoken Dialogue Systems 
Sub Title (in English)  
Keyword(1) TTS  
Keyword(2) emotional speech  
Keyword(3) voice convercion  
Keyword(4) x-vectors  
Keyword(5) spoken dialogue systems  
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1st Author's Name Shunichi Kohara  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Masanobu Abe  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Sunao Hara  
3rd Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2023-03-01 11:20:00 
Presentation Time 20 minutes 
Registration for SP 
Paper # EA2022-109, SIP2022-153, SP2022-73 
Volume (vol) vol.122 
Number (no) no.387(EA), no.388(SIP), no.389(SP) 
Page pp.203-208 
#Pages 6 
Date of Issue 2023-02-21 (EA, SIP, SP) 

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